iPhone 15 Pro Max
Geekbench AI Score
5055
Single Precision Score
5894
Half Precision Score
5195
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (Q)
|
97% |
1883
351.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3960
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4138
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15894
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14467
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (Q)
|
91% |
2247
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
6555
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
8872
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
6246
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11898
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12937
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10447
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29633
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34707
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31836
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6377
235.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6663
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5284
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
